Association between BrainAGE and Alzheimer's disease biomarkers.

ABSTRACT:

Introduction

The brain age gap estimation (BrainAGE) method uses a machine learning model to generate an age estimate from structural magnetic resonance imaging (MRI) scans. The goal was to study the association of brain age with Alzheimer's disease (AD) imaging and plasma biomarkers.

Methods

One hundred twenty-three individuals from the Indiana Memory and Aging Study underwent structural MRI, amyloid and tau positron emission tomography (PET), and plasma sampling. The MRI scans were processed using the software program BrainAgeR to receive a "brain age" estimate. Plasma biomarker concentrations were measured, and partial Pearson correlation models were used to evaluate their relationship with brain age gap (BAG) estimation (BrainAGE = chronological age - MRI estimated brain

SUBMITTER: Abughofah Y 

PROVIDER: S-EPMC11865712 | biostudies-literature | 2025 Jan-Mar

REPOSITORIES: biostudies-literature